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dpravinv
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fold_0

Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9022
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- - F1: 0.8823
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  ## Model description
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@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.4236 | 1.0 | 300 | 0.3209 | 0.8608 |
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- | 0.3001 | 2.0 | 600 | 0.3393 | 0.8794 |
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- | 0.181 | 3.0 | 900 | 0.3445 | 0.8777 |
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- | 0.0869 | 4.0 | 1200 | 0.4477 | 0.8748 |
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- | 0.048 | 5.0 | 1500 | 0.5848 | 0.8756 |
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- | 0.027 | 6.0 | 1800 | 0.7577 | 0.8777 |
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- | 0.0106 | 7.0 | 2100 | 0.8477 | 0.8761 |
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- | 0.0079 | 8.0 | 2400 | 0.8961 | 0.8795 |
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- | 0.0023 | 9.0 | 2700 | 0.8948 | 0.8831 |
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- | 0.0001 | 10.0 | 3000 | 0.9022 | 0.8823 |
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  ### Framework versions
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- - Transformers 4.48.0.dev0
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- - Pytorch 2.6.0+cu124
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- - Datasets 3.1.0
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9358
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+ - F1: 0.8578
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.7289 | 1.0 | 188 | 0.4268 | 0.8239 |
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+ | 0.3104 | 2.0 | 376 | 0.3828 | 0.8580 |
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+ | 0.1417 | 3.0 | 564 | 0.4563 | 0.8522 |
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+ | 0.0758 | 4.0 | 752 | 0.5187 | 0.8592 |
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+ | 0.0462 | 5.0 | 940 | 0.7985 | 0.8497 |
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+ | 0.0289 | 6.0 | 1128 | 0.7168 | 0.8545 |
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+ | 0.0152 | 7.0 | 1316 | 1.0003 | 0.8456 |
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+ | 0.006 | 8.0 | 1504 | 0.9324 | 0.8575 |
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+ | 0.0019 | 9.0 | 1692 | 0.9218 | 0.8618 |
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+ | 0.0022 | 10.0 | 1880 | 0.9358 | 0.8578 |
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  ### Framework versions
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+ - Transformers 4.48.0
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+ - Pytorch 2.5.1
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+ - Datasets 3.2.0
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  - Tokenizers 0.21.0
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